kandi X-RAY | x-ray Summary
kandi X-RAY | x-ray Summary
Statistics and analytics Java EE 6 software for blogs (tested with roller) and webapps. It is a vanilla Java EE 6 (REST/JAX-RS, CDI, EJB, JPA) app, tested on Glassfish v3.1, built with Maven 3 / Jenkins and developed with NetBeans 7. X-ray is the sample app of the [Real World Night Hacks] book.
Top functions reviewed by kandi - BETA
- Binding a mbean .
- Creates a predicate based on the nashorn script .
- Initialize the REST client .
- Parse the JSON data from the given Reader .
- Extracts a path segment from a URL
- Returns the version of the server .
- Convert a local queue name to JSON object .
- Extracts the title of a title .
- Measure performance of method invocation .
- Update statistics for a given uri .
x-ray Key Features
x-ray Examples and Code Snippets
Trending Discussions on x-ray
I am new in AWS and need a Centralized Logging architecture with X-Ray. For this issue, I checked the AWS reference implementation: https://docs.aws.amazon.com/solutions/latest/centralized-logging/architecture.html which shows an interesting architecture.
My question is, how and where I should use X-Ray in such an architecture? My goal is to have a centralized account, which will be aware, about the underlying services, especially from other accounts.
ANSWERAnswered 2021-Jun-07 at 16:26
AWS X-Ray is a distributed tracing service and not a logging service. Hence it doesn't fit into the above architecture. But if you still want to use X-Ray and have traces sent to a single common account, there's a way to do so using X-Ray daemon. If you are managing the X-Ray Daemon on your own, you can provide an IAM role of your central account which the daemon would use to send all the traces to. Docs for daemon configuration: https://docs.aws.amazon.com/xray/latest/devguide/xray-daemon-configuration.html
Please keep in mind that services like API Gateway and Lambda have a self-managed daemon and currently only send traces to their own account.
I'm running a unet model on x-ray for lung region segmentation, the model seems to work well, but my dataset is not that good looking, I'm obtaining results with some missing parts as in here:
My question is: is there any cv operator I can preform to smoothen it a little more to obtain something like this:
ANSWERAnswered 2021-May-14 at 23:42
What you describe can be implemented via
morphology. Morphological operations are a set of (logical) operations that affect the overall shape of the image. It can "expand" or "reduce" shape regions, among many other cool operations.
Let's use a dilation to expand your image's shape:
Generate a list of all appointments in alphabetical order by patient name and by latest date and time for each patient. The list should also include the doctor scheduled and the receptionist who made the appointment.
This is my query so far:...
ANSWERAnswered 2021-May-05 at 04:52
You need to join to the
Employee_T table twice, once to fetch the doctor's name, and once to fetch the receptionist's name:
The project : Find out if a breast x-ray contains a benign or malignant tumor with the help of a convolutional neural network.
This is the link for the github repository : https://github.com/aubreyDKR/CNNBreastCancer.git
You can see the project on the file : ImageLearningProject.ipynb The latest version is on the branch : aubrey
The problem : we can see in the part "Evaluate Model" that there is something wrong with the model accuraccy because it doesn't improve with the times. Why ? How to resolve this ?
If other informations are needed. Tell it to me.
Update : After some advice I made the next update.
- Add Batch Normalization layers and Activation layers.
- Change the loss fonction from . . . to Binary Crossentropy. So the last dense layer was changed from softmax to sigmoid.
- The file names are no more printed to have a cleaner notebook.
Results : We can see some changes to the model accuracy plot. But always look like something is wrong. I think that the model should be better for each epochs....
ANSWERAnswered 2021-Apr-17 at 20:07
- My first advice is: You should remove the print statement that outputs the file names, it is unnecessary and messes your notebook output space :)
- Your task is a binary classification task. The label is either 0 (malign) or 1 (benign) or the other way around, it does not matter. However, you are using a wrong loss function categorical cross entropy which is for multi-class classification. You should use BinaryCrossEntropy. https://www.tensorflow.org/api_docs/python/tf/keras/losses/BinaryCrossentropy
- You can try apply max pooling every second CNN layer
- Batch normalization might help. In this case, you should remove the activation in the cnn layers and after each convolution you can apply Batch Normalization and after that you should have an activation layer (e.g ReLU)
I'm working on a fun random ICAO translator program and I'm almost done with it but I'm having one little problem. How do I go about splitting a string by each character? For example the output I want is; The word mike translated in the ICAO alphabet is:
So far I just get; The word mike translated in the ICAO alphabet is:
Apparently my post is mostly code and I must add more detail so I'm adding this sentence to hopefully satisfy the requirements. Also the translation should be right on top of each other and not one extra space down. I'm having problems with that and idk how to fix that....
ANSWERAnswered 2021-Apr-24 at 18:21
If I understand your post correctly, you don't want to split a string but to iterate through its characters.
My problem is as follows: I am modeling a hospital department, specifically the Radiology department which consists of X CT rooms Y X-ray rooms etc. Is there any way to set these values ( X and Y) before the simulation starts? With a slider or a similar button in the anylogic interface? I know how to do it at run time, but I don't know how to set these parameters before it starts.
ANSWERAnswered 2021-Apr-22 at 10:14
Yes there is. Go to the simulation window and add variables called X and Y (they don't necessarily need to be the same names as the parameters but it's easier for reference). Then, in the properties of the simulation window, you have the list of all parameters in main. Set the value of X as X and Y as Y (noting that the first X and Y in my sentence refer to the parameters in main and the second ones refer to the variables in the simulation window).
After that, add a slider in the simulation window (or any other interface object) and link it to your variables.
Also make sure to uncheck "Skip experiment screen".
I am trying to loop through a subnode while looping through another node. The code I am using is (a lot of processing code not relevant to the question removed)....
ANSWERAnswered 2021-Apr-21 at 10:58
a) You only have one variable which you re-assign all over again. In the end you want to use a list or something.
b) you should make use of the
icditem variable instead of accessing a fixed element. A good IDE would indicate a warning about an unused variable.
I have a dataframe of patients in the format of one line per chest x-ray. My columns include a specific measurement on the chest x-ray, the date of the chest x-ray, and then several additional columns that are the same for a given patient (like final outcome).
ANSWERAnswered 2021-Apr-14 at 23:40
Here is hybrid approach using pivot_wider to calculate the means of the car_measures and the dplyr to summarize function to determine the first cxr_date.
I'm doing this kaggle contest where i have to classify this x-ray in 3 category bacteria,virus or normal.
I don't get why it keep me give the same error.
Images are rgb, and output shape is
(none,3) so I really don't get where the thing with shape
Can someone help me?
Here is my code: import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers...
ANSWERAnswered 2021-Apr-09 at 07:18
DataImageGenerator from keras the
image_dataset_from_directory defaults to integer labels.
If you want to use the
categorical_crossentropy loss function, you need to define
label_mode='categorical' in image_dataset_from_directory() to get One-Hot encoded labels.
See the documentation here.
I have a patient model. Each patient can have several "Medical Records" where choices come from models like "BodyPart" or "Medicin":...
ANSWERAnswered 2021-Mar-30 at 09:13
You have to use a nested serializer and use source fields to achieve the desired result.
Somewhat like this :
You can use x-ray like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the x-ray component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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